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ICCAD
2007
IEEE
115views Hardware» more  ICCAD 2007»
14 years 5 months ago
Parameterized model order reduction via a two-directional Arnoldi process
Abstract—This paper presents a multiparameter momentmatching based model order reduction technique for parameterized interconnect networks via a novel two-directional Arnoldi pro...
Yung-Ta Li, Zhaojun Bai, Yangfeng Su, Xuan Zeng
ICANN
2010
Springer
13 years 10 months ago
Variational Bayesian Image Super-Resolution with GPU Acceleration
With the term super-resolution we refer to the problem of reconstructing an image of higher resolution than that of unregistered and degraded observations. Typically, the reconstru...
Giannis K. Chantas
BMCBI
2005
178views more  BMCBI 2005»
13 years 8 months ago
A quantization method based on threshold optimization for microarray short time series
Background: Reconstructing regulatory networks from gene expression profiles is a challenging problem of functional genomics. In microarray studies the number of samples is often ...
Barbara Di Camillo, Fatima Sanchez-Cabo, Gianna To...
ICIP
2009
IEEE
14 years 10 months ago
Efficient Multivariate Skellam Shrinkage For Denoising Photon-limited Image Data: An Empirical Bayes Approach
In this article we address the issue of denoising photon-limited image data by deriving new and efficient multivariate Bayesian estimators that approximate the conditional expecta...
ICASSP
2011
IEEE
13 years 20 days ago
On selecting the hyperparameters of the DPM models for the density estimation of observation errors
The Dirichlet Process Mixture (DPM) models represent an attractive approach to modeling latent distributions parametrically. In DPM models the Dirichlet process (DP) is applied es...
Asma Rabaoui, Nicolas Viandier, Juliette Marais, E...